Jacques Saraydaryan — accepted AI-conference papers

2024

Multi-Robot Navigation Among Movable Obstacles: Implicit Coordination to Deal with Conflicts and Deadlocks

Benoit Renault, Jacques Saraydaryan, David Brown, Olivier Simonin

IROS 2024poster

How to coordinate multiple robots moving in modifiable cluttered environments? In this paper, we introduce the multi-robot version of the NAMO problem (Navigation Among Movable Obstacles). In MR-NAMO, robots must not only plan for the possibility of displacing obstacles as needed to facilitate their…

Cited by 1 Source ↗Scholar ↗

2020

Modeling a Social Placement Cost to Extend Navigation Among Movable Obstacles (NAMO) Algorithms

Benoit Renault, Jacques Saraydaryan, and Olivier Simonin

IROS 2020poster

Current Navigation Among Movable Obstacles (NAMO) algorithms focus on finding a path for the robot that only optimizes the displacement cost of navigating and moving obstacles out of its way. However, in a human environment, this focus may lead the robot to leave the space in a socially inappropriat…

Cited by 8 Source ↗Scholar ↗